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Chapter 10. Scaling JAX-RS Applications

When studying the Web, one can’t help but notice how massively
scalable it is. There are hundreds of thousands of websites and billions of
requests per day traveling across it. Terabytes of data are downloaded from
the Internet every hour. Websites like Amazon and Bank of America process millions of
transactions per day. In this chapter, I’ll discuss some features of the
Web, specifically within HTTP, that make it more scalable and how you can
take advantage of these features within JAX-RS applications.

Caching

Caching is one of the more important features of the Web. When you
visit a website for the first time, your browser stores images and static
text in memory and on disk. If you revisit the site within minutes, hours,
days, or even months, your browser doesn’t have to reload the data over
the network and can instead pick it up locally. This greatly speeds up the
rendering of revisited web pages and makes the browsing experience much
more fluid. Browser caching not only helps page viewing, it also cuts down on
server load. If the browser is obtaining images or text locally, it is not
eating up scarce server bandwidth or CPU cycles.

Besides browser caching, there are also proxy caches. Proxy caches are pseudo web servers that work
as middlemen between browsers and websites. Their sole purpose is to ease
the load on master servers by caching static content and serving it to
clients directly, bypassing the main servers. Content delivery networks ...

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